377 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" positions in China
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, PDEs, Dynamic Systems, Mathematical Biology, Computational Mathematics, and Data Sciences, etc. For more information about the College, please visit https://mathen.hrbeu.edu.cn/ . Application Materials
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there is any problem with the online application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . Qualifications: 1. Candidates must
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Director of the PGCHE programme is responsible for the management of modules needed by new Academics across Faculties for qualification/accreditation to teach in the UK higher education system. The programme
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at http://english.amss.cas.cn (in English) and http://www.amss.ac.cn (in Chinese). Application Materials Required: Submit the following items online at this website to complete your application: Cover
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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documents online: https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/1207 . All information provided will be treated in strictest confidence. *If you failed to submit your application online, please send
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and information on how to apply, please visit https://rsc.nuist.edu.cn/2021/0608/c1097a178491/page.htm For more information about Nanjing city, please visit https://www.gonanjingchina.com/ We are not
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research group of Prof. Quoc Ho (https://quocho.com/ ), whose current research interests lie in the intersection of geometric representation theory, categorification, knot invariants/topological quantum
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Summer teaching). The ELC is committed to empowering students to succeed in University studies and in life by engaging them in English, academic and global skills learning. The ELC seeks to achieve its
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join its team of scholars in the field of comparative and international education. Candidates with research strength on digital learning technologies in higher education are particularly welcomed